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MHealth Technologies for Managing Problematic Pornography Use: Content Analysis

Overview

Overview

Journal JMIR Form Res

Publisher JMIR Publications

Specialty Biomedical Engineering

Date 2022 Oct 13

PMID 36227634

Authors

Authors

Nathan Henry

Liesje Donkin

Matt Williams

Mangor Pedersen

Affiliations

Affiliations

Soon will be listed here.

Abstract

Background: Several mobile apps are currently available that purportedly help with managing pornography addiction. However, the utility of these apps is unclear, given the lack of literature on the effectiveness of mobile health solutions for problematic pornography use. Little is also known about the content, structure, and features of these apps.

Objective: This study aims to characterize the purpose, content, and popularity of mobile apps that claim to manage pornography addiction.

Methods: The phrase "pornography addiction" was entered as a search term in the app stores of the two major mobile phone platforms (Android and iOS). App features were categorized according to a coding scheme that contained 16 categories. Apps were included in the analysis if they were described as helpful for reducing pornography use, and data were extracted from the store descriptions of the apps. Metrics such as number of user ratings, mean rating score, and number of installations were analyzed on a per-feature basis.

Results: In total, 170 apps from both app stores met the inclusion criteria. The five most common and popular features, both in terms of number of apps with each feature and minimum possible number of installations, were the ability to track the time since last relapse (apps with feature=72/170, 42.4%; minimum possible number of installations=6,388,000), tutorials and coaching (apps with feature=63/170, 37.1%; minimum possible number of installations=9,286,505), access to accountability partners or communities (apps with feature=51/170, 30%; minimum possible number of installations=5,544,500), content blocking or content monitoring (apps with feature=46/170, 27.1%; minimum possible number of installations=17,883,000), and a reward system for progress (apps with feature=34/170, 20%; minimum possible number of installations=4,425,300). Of these features, content-blocking apps had the highest minimum possible number of installations. Content blocking was also the most detected feature combination in a combinatorial analysis (with 28 apps having only this feature), but it also had the lowest mean consumer satisfaction rating (4.04) and second-lowest median rating (4.00) out of 5 stars. None of the apps reviewed contained references to literature that provided direct evidence for the app's efficacy or safety.

Conclusions: There are several apps with the potential to provide low- or zero-cost real-time interventions for people struggling to manage problematic pornography use. Popular app features include blockers of pornographic content, behavior monitoring, and tutorials that instruct users how to eliminate pornography use. However, there is currently no empirical evidence to support the effectiveness and safety of these apps. Further research is required to be able to provide recommendations about which apps (and app features) are safe for public consumption.

References

1.

Rajani N, Mastellos N, Filippidis F . Impact of Gamification on the Self-Efficacy and Motivation to Quit of Smokers: Observational Study of Two Gamified Smoking Cessation Mobile Apps. JMIR Serious Games. 2021; 9(2):e27290. PMC: 8114162. DOI: 10.2196/27290. View

2.

Chasioti D, Binnie J . Exploring the Etiological Pathways of Problematic Pornography Use in NoFap/PornFree Rebooting Communities: A Critical Narrative Analysis of Internet Forum Data. Arch Sex Behav. 2021; 50(5):2227-2243. PMC: 8275519. DOI: 10.1007/s10508-021-01930-z. View

3.

Lewczuk K, Wojcik A, Gola M . Increase in the Prevalence of Online Pornography Use: Objective Data Analysis from the Period Between 2004 and 2016 in Poland. Arch Sex Behav. 2021; 51(2):1157-1171. PMC: 8888374. DOI: 10.1007/s10508-021-02090-w. View

4.

Gustafson D, McTavish F, Chih M, Atwood A, Johnson R, Boyle M . A smartphone application to support recovery from alcoholism: a randomized clinical trial. JAMA Psychiatry. 2014; 71(5):566-72. PMC: 4016167. DOI: 10.1001/jamapsychiatry.2013.4642. View

5.

Haug S, Paz Castro R, Wenger A, Schaub M . Efficacy of a mobile phone-based life-skills training program for substance use prevention among adolescents: study protocol of a cluster-randomised controlled trial. BMC Public Health. 2018; 18(1):1102. PMC: 6131936. DOI: 10.1186/s12889-018-5969-5. View

6.

Richardson C, Resnick P, Hansen D, Derry H, Rideout V . Does pornography-blocking software block access to health information on the Internet?. JAMA. 2002; 288(22):2887-94. DOI: 10.1001/jama.288.22.2887. View

7.

Twohig M, Crosby J . Acceptance and commitment therapy as a treatment for problematic internet pornography viewing. Behav Ther. 2010; 41(3):285-95. DOI: 10.1016/j.beth.2009.06.002. View

8.

Rodriguez-Paras C, Tippey K, Brown E, Sasangohar F, Creech S, Kum H . Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review. JMIR Mhealth Uhealth. 2017; 5(10):e156. PMC: 5680516. DOI: 10.2196/mhealth.7318. View

9.

Staiger P, ODonnell R, Liknaitzky P, Bush R, Milward J . Mobile Apps to Reduce Tobacco, Alcohol, and Illicit Drug Use: Systematic Review of the First Decade. J Med Internet Res. 2020; 22(11):e17156. PMC: 7723745. DOI: 10.2196/17156. View

10.

Bothe B, Baumgartner C, Schaub M, Demetrovics Z, Orosz G . Hands-off: Feasibility and preliminary results of a two-armed randomized controlled trial of a web-based self-help tool to reduce problematic pornography use. J Behav Addict. 2021; . PMC: 8987418. DOI: 10.1556/2006.2021.00070. View

11.

Mihajlov M, Vejmelka L . Internet Addiction: A Review of the First Twenty Years. Psychiatr Danub. 2017; 29(3):260-272. DOI: 10.24869/psyd.2017.260. View

12.

Cheng V, Davenport T, Johnson D, Vella K, Hickie I . Gamification in Apps and Technologies for Improving Mental Health and Well-Being: Systematic Review. JMIR Ment Health. 2019; 6(6):e13717. PMC: 6617915. DOI: 10.2196/13717. View

13.

Shiffman S, Stone A, Hufford M . Ecological momentary assessment. Annu Rev Clin Psychol. 2008; 4:1-32. DOI: 10.1146/annurev.clinpsy.3.022806.091415. View

14.

Short M, Wetterneck C, Bistricky S, Shutter T, Chase T . Clinicians' Beliefs, Observations, and Treatment Effectiveness Regarding Clients' Sexual Addiction and Internet Pornography Use. Community Ment Health J. 2016; 52(8):1070-1081. DOI: 10.1007/s10597-016-0034-2. View

15.

Shen N, Levitan M, Johnson A, Bender J, Hamilton-Page M, Jadad A . Finding a depression app: a review and content analysis of the depression app marketplace. JMIR Mhealth Uhealth. 2015; 3(1):e16. PMC: 4376135. DOI: 10.2196/mhealth.3713. View

16.

Fernandez D, Kuss D, Griffiths M . The Pornography "Rebooting" Experience: A Qualitative Analysis of Abstinence Journals on an Online Pornography Abstinence Forum. Arch Sex Behav. 2021; 50(2):711-728. PMC: 7889567. DOI: 10.1007/s10508-020-01858-w. View

17.

Wolak J, Mitchell K, Finkelhor D . Unwanted and wanted exposure to online pornography in a national sample of youth Internet users. Pediatrics. 2007; 119(2):247-57. DOI: 10.1542/peds.2006-1891. View

18.

Nahum-Shani I, Smith S, Spring B, Collins L, Witkiewitz K, Tewari A . Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Ann Behav Med. 2016; 52(6):446-462. PMC: 5364076. DOI: 10.1007/s12160-016-9830-8. View

19.

Kruglanski A, Chernikova M, Rosenzweig E, Kopetz C . On motivational readiness. Psychol Rev. 2014; 121(3):367-88. DOI: 10.1037/a0037013. View

20.

Aboujaoude E . Problematic Internet use two decades later: apps to wean us off apps. CNS Spectr. 2018; 24(4):371-373. DOI: 10.1017/S109285291800127X. View